Ops rca hypothesis generator
Skill sisodiabhumca/agent-skills/skills/ops-rca-hypothesis-generator
Production-Ready Agent Skills : product analytics, growth experiments, CRM, research synthesis, postmortems, data contracts, SaaS spend, compliance, architecture maps, and LLM eval and many more.
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Generates vendor-neutral root-cause-analysis (RCA) hypotheses from incident symptoms and recent changes, producing a prioritized investigation plan.
SKILL.md
1.4 KB, as published. Nobody here has run it
When to invoke
- After an outage/incident when you have symptoms and a change log but no confirmed cause.
- You want a structured, testable list of hypotheses with next steps.
Inputs needed
--incident: JSON describing impact window, symptoms, and affected components.--changes: JSON list of recent changes (deploys, config, infra).- Optional:
--out: Path to write hypotheses JSON.
Workflow
- Load incident and change entries.
- Extract keywords from symptoms/components.
- Score each change by time proximity and keyword overlap.
- Generate hypotheses:
- “Change X caused symptom Y via mechanism Z”.
- For each hypothesis, produce:
- quick checks (logs/metrics/flags)
- deeper validation
- rollback/mitigation options
- Output top hypotheses sorted by score.
Output format
JSON with:
incident_summaryhypotheses: list withrank,score,hypothesis,evidence,next_steps
Guardrails
- Do not claim certainty; hypotheses must be framed as testable.
- Avoid blaming individuals; focus on systems.
- Keep guidance vendor-neutral (no tool-specific commands).
Reference code
Use ops_rca_hypothesis_generator.py.